Discover datasets

This dataset contains 16-channel electroencephalographic recordings from 12 healthy participants who listened to harpsichord music while fixating on a visual marker, with and without a passive head-mounted display (a headset containing no electronics apart from a smartphone). Each participant completed ten one-minute eyes-open blocks, five with the smartphone switched on and five with it switched off, in randomized order. The data were collected in a pilot experiment at GIPSA-lab, Grenoble, in 2017 to assess the impact of passive VR headsets on EEG signal quality.

Participants

12

Channels

16 (10-10)

Citations

17

HED

v8.4.0

Size

516 MB

Version

v1.0.5

Updated

Aug 18, 2026

EEG recordings from an online brain-computer interface study with twelve healthy participants using a visual matrix P300 speller. Three fully unsupervised decoding methods were compared: learning from label proportions (LLP), expectation-maximization (EM), and their mixture (MIX). Participants copy-spelled a German sentence across three blocks, one per algorithm. The dataset supports research on calibration-free ERP-based BCIs.

Participants

12

Channels

31 (10-10)

Citations

27

HED

v8.4.0

Size

4.81 GB

Version

v1.0.3

Updated

Oct 8, 2026

A multi-modal face processing dataset combining simultaneously recorded MEG and EEG with structural MRI from 18 participants. Participants viewed famous, unfamiliar, and scrambled faces and made a symmetry judgment by button press. The data are a curated repackaging of the MEEG portion of ds000117, with reorganized event logs, Hierarchical Event Descriptor (HED) annotations, and EEGLAB-format EEG.

Participants

19

Citations

80

HED

v8.1.0

Size

106 GB

Version

v1.0.0

Updated

Mar 9, 2026

EEG recordings from 10 healthy participants using an auditory P300 brain-computer interface speller based on the AMUSE (Auditory Multi-class Spatial ERP) paradigm. Six speakers placed around the participant provided spatial auditory cues for a two-step, hex-o-spell-like character selection. The recordings include calibration and online spelling in two sessions, the second using a dynamic stopping method to increase writing speed.

Participants

10

Channels

8 (10-10)

HED

v8.4.0

Size

74.4 MB

Version

v1.0.4

Updated

Oct 8, 2026

EEG recordings from 25 participants performing a two-competing-speaker selective attention task, in which they attended to either the left or right audio book. The participant's own name was embedded 10 times per block in the to-be-ignored stream, allowing study of attention capture and neural tracking of attended and ignored speech. Blocks alternated between an omnidirectional condition (equal loudness) and a beamforming condition (attended stream louder).

Participants

25

Channels

47 (egi-geodesic)

Citations

38

Size

13.5 GB

Version

v1.0.0

Updated

Jun 22, 2026

EEG dataset of multiband auditory brainstem responses (ABRs) derived from continuous 'peaky' speech, collected to identify optimal stimulus parameters. Experiment 1 compares zero-phase and chirp-phase speech profiles in normal-hearing adults, and Experiment 2 compares narrators with different fundamental frequencies (natural versus shifted to 100 Hz). Data include raw BrainVision EEG recordings, event files, and HDF5 stimulus and regressor files for deconvolution.

Participants

62

Channels

3 (other)

Size

94.3 GB

Version

v1.0.0

Updated

Jul 1, 2026

EEG recordings from 54 healthy participants performing a 36-symbol ERP (P300) row-column speller task with face stimuli, collected over two sessions with offline training and online copy-spelling test phases. Data were recorded at 1000 Hz from 62 EEG channels plus 4 additional EMG channels. The dataset is part of a three-paradigm BCI collection (ERP, SSVEP, motor imagery) created to investigate BCI illiteracy and distributed with the OpenBMI toolbox.

Participants

54

Channels

62 (10-05)

Citations

100

HED

v8.4.0

Size

132 GB

Version

v1.0.5

Updated

Oct 8, 2026

This dataset is a subset (Study N) of the bigP3BCI collection, comprising 16-channel EEG recordings from 8 participants with amyotrophic lateral sclerosis (ALS) using a P300-based speller with a 9x8 character grid. Each participant completed two sessions comparing dry and wet electrode setups. Target and non-target visual stimulus events are annotated with HED tags, and the data were recorded at 256 Hz with g.USBamp amplifiers.

Participants

8

Channels

16 (10-10)

Citations

2

HED

v8.4.0

Size

1.22 GB

Version

v1.0.4

Updated

Oct 8, 2026

A P300 brain-computer interface EEG dataset from 10 healthy, BCI-experienced female participants who selected one of 36 characters using two visual spelling interfaces: the P300 Speller (overt attention) and GeoSpell (covert attention). EEG was recorded from 16 scalp electrodes across multiple sessions. The dataset supports analysis of P300 latency jitter and its relationship to BCI classification performance.

Participants

10

Channels

16 (10-10)

Citations

85

HED

v8.4.0

Size

247 MB

Version

v1.0.3

Updated

Oct 8, 2026

EEG dataset from a visual working memory experiment in which participants judged whether a probe grating was rotated clockwise or counterclockwise relative to a memorized orientation. Color cues either predicted a 90° segment of possible orientations or gave no information about orientation. The dataset supports investigation of how diffuse predictions stabilize and reshape neural codes during memory encoding.

Participants

47

Channels

66 (10-10)

Size

145 GB

Version

v1.0.0

Updated

Jul 2, 2026